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SIGCOMM
2012
ACM
13 years 4 months ago
Multi-resource fair queueing for packet processing
Middleboxes are ubiquitous in today’s networks and perform a variety of important functions, including IDS, VPN, firewalling, and WAN optimization. These functions differ vastl...
Ali Ghodsi, Vyas Sekar, Matei Zaharia, Ion Stoica
GECCO
2005
Springer
197views Optimization» more  GECCO 2005»
15 years 7 months ago
Breeding swarms: a GA/PSO hybrid
Abstract. In this paper we propose a novel hybrid (GA/PSO) algorithm, Breeding Swarm, combining the strengths of particle swarm optimization with genetic algorithms. The hybrid alg...
Matthew Settles, Terence Soule
GECCO
2008
Springer
109views Optimization» more  GECCO 2008»
15 years 2 months ago
Focused no free lunch theorems
Proofs and empirical evidence are presented which show that a subset of algorithms can have identical performance over a subset of functions, even when the subset of functions is ...
Darrell Whitley, Jonathan E. Rowe
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
15 years 5 months ago
Understanding particle swarms through simplification: a study of recombinant PSO
Simplified forms of the particle swarm algorithm are very beneficial in contributing to understanding of what makes a PSO swarm function in the way that it does. One of these form...
Daniel Bratton, Tim Blackwell
GECCO
2008
Springer
170views Optimization» more  GECCO 2008»
15 years 2 months ago
Evolving prediction weights using evolution strategy
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
Trung Hau Tran, Cédric Sanza, Yves Duthen